{"id":"W4413009161","doi":"10.1016/j.clwas.2025.100382","title":"Kiwi peel waste enhances manure protein degradation: Statistical optimization using Box-Behnken design and response surface methodology","year":2025,"lang":"en","type":"article","venue":"Cleaner Waste Systems","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Newfoundland and Labrador","keywords":"Box–Behnken design; Response surface methodology; Degradation (telecommunications); Manure; Statistical analysis; Chemistry; Food science; Pulp and paper industry; Mathematics; Chromatography; Agronomy; Computer science; Biology; Engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003606619,0.001072873,0.001345026,0.0004861889,0.0002110756,0.0007289064,0.0006219883,0.0006361636,0.000844673],"category_scores_gemma":[0.001401159,0.0006528794,0.001532853,0.0004499742,0.0003959855,0.0002485678,0.000413549,0.000647485,0.0001083671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004904346,"about_ca_system_score_gemma":0.000803346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602441,"about_ca_topic_score_gemma":0.002028655,"domain_scores_codex":[0.9987508,0.0007344165,0.00007400583,0.0001487328,0.000189824,0.0001021665],"domain_scores_gemma":[0.9990811,0.0006848974,0.00010458,0.0000299518,0.0000825967,0.00001673887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003175427,0.002062926,0.004109549,0.001259764,0.0006445959,0.0001516941,0.0001823453,0.6392053,0.2946746,0.001748187,0.0001514637,0.05263413],"study_design_scores_gemma":[0.0001673467,0.006042042,0.003802165,0.00001468786,0.0001799462,0.00002707469,0.00005289388,0.8874692,0.1008002,0.0003918734,0.0009938314,0.00005877907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7566086,0.0005853348,0.2412077,0.00006076285,0.00003325598,0.0004253807,0.0001603934,0.0002457671,0.0006728257],"genre_scores_gemma":[0.7949306,0.0005266807,0.2016196,0.00005568222,0.000009582964,0.001355862,0.0002742405,0.00004202979,0.001185803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003606619,"threshold_uncertainty_score":0.01907384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933389161945948,"score_gpt":0.295844667461144,"score_spread":0.2365107758416845,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}